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Submissions from 2023

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HDFRL-empowered Energy Efficient Resource Allocation for Aerial MEC-enabled Smart City Cyber Physical System in 6G, Abegaz Mohammed Seid, Hayla Nahom Abishu, Aiman Erbad, and Mohsen Guizani

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Multi-agent Federated Reinforcement Learning for Resource Allocation in UAV-enabled Internet of Medical Things Networks, Abegaz Mohammed Seid, Aiman Erbad, Hayla Nahom Abishu, Abdullatif Albaseer, Mohamed Abdallah, and Mohsen Guizani

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Blockchain-Empowered Resource Allocation in Multi-UAV-Enabled 5G-RAN: A Multi-agent Deep Reinforcement Learning Approach, Abegaz Mohammed Seid, Aiman Erbad, Hayla Nahom Abishu, Abdullatif Albaseer, Mohammed Abdallah, and Mohsen Guizani

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Computation Offloading and Resource Allocation in NOMA-MEC: A Deep Reinforcement Learning Approach, Ce Shang, Yan Sun, Hong Luo, and Mohsen Guizani

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Energy-Efficient Beam Training for RIS Assisted UAV Communications in Emergency Rescue Scenarios, Sihui Shang, Dongyang Xu, Pinyi Ren, Keping Yu, and Mohsen Guizani

FerKD: Surgical Label Adaptation for Efficient Distillation, Zhiqiang Shen

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A Two-Stage Strategy for UAV-enabled Wireless Power Transfer in Unknown Environments, Junling Shi, Peiyu Cong, Liang Zhao, Xingwei Wang, Shaohua Wan, and Mohsen Guizani

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AI-based UAV navigation framework with digital twin technology for mobile target visitation, Abdulrahman Soliman, Abdulla Al-Ali, Amr Mohamed, Hend Gedawy, Daniel Izham, Mohamad Bahri, Aiman Erbad, and Mohsen Guizani

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Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited, Jinyan Su, Changhong Zhao, and Di Wang

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Feature Expansion for Graph Neural Networks, Jiaqi Sun, Lin Zhang, Guangyi Chen, Peng Xu, Kun Zhang, and Yujiu Yang

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Using Cloud Computing Based Crowdsourcing for Security and Privacy Settings of Android Users, Yuzhu Sun, Xuanyu Liu, Tianchi Wu, Xiao Fu, Bin Luo, Xiaojiang Du, and Mohsen Guizani

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User-centric base station clustering and resource allocation for cell-edge users in 6G ultra-dense networks, Yuhan Su, Zhibin Gao, Xiaojiang Du, and Mohsen Guizani

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Neural-symbolic interaction and co-evolving, Bowen Tan, Shibo Hao, Eric Xing, and Zhiting Hu

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Coverage Optimization Based on Airborne Fog Computing for Internet of Medical Things, Chaogang Tang, Chunsheng Zhu, and Mohsen Guizani

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Multi-UAV-Assisted Federated Learning for Energy-Aware Distributed Edge Training, Jianhang Tang, Jiangtian Nie, Yang Zhang, Zehui Xiong, Wenchao Jiang, and Mohsen Guizani

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FlowSpotter: Intelligent IoT Threat Detection via Imaging Network Flows, Shuaishuai Tan, Daojing He, Sammy Chan, and Mohsen Guizani

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Matrix Reconstruction Algorithm-Assisted Multi-Carrier DCSK Scheme: An Effective Solution for Frequency-Selective Fading Channel, Yiwei Tao, Yi Fang, Pingping Chen, Huan Ma, and Mohsen Guizani

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Fast Rates for Maximum Entropy Exploration, Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Éric Moulines, Rémi Munos, Alexey Naumov, Pierre Perrault, Yunhao Tang, Michal Valko, and Pierre Ménard

Byzantine-Tolerant Methods for Distributed Variational Inequalities, Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takáč, Karthik Nandakumar, Samuel Horváth, and Eduard Gorbunov

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Joint Flood Risks in the Grand River Watershed, Poornima Unnikrishnan, Kumaraswamy Ponnambalam, Nirupama Agrawal, and Fakhri Karray

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Task Offloading Using Multi-Armed Bandit Optimization in Autonomous Mobile Robots, Anis Ur Rahman, Asad Waqar Malik, Hasan Ali Khattak, and Moayad Aloqaily

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Scientific discovery in the age of artificial intelligence, Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie Yan Liu, Arjun Manrai, Debora Marks, and Bharath Ramsundar

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Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning, Jiahuan Wang, Jun Chen, Hong Chen, Bin Gu, Weifu Li, and Xin Tang

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5G MEC-Based Intelligent Computation Offloading in Power Robotic Inspection, Wei Wang, Rui Qu, Haijun Liao, Zhao Wang, Zhenyu Zhou, Zhongyuan Wang, Shahid Mumtaz, and Mohsen Guizani

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GBMIA: Gradient-based Membership Inference Attack in Federated Learning, Xiaodong Wang, Naiyu Wang, Longfei Wu, Zhitao Guan, Xiaojiang Du, and Mohsen Guizani

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Enhancing Conversational Recommendation Systems with Representation Fusion, Yingxu Wang, Xiaoru Chen, Jinyuan Fang, Zaiqiao Meng, and Shangsong Liang

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Low-latency Scheduling Approach for Dependent Tasks in MEC-enabled 5G Vehicular Networks, Zhiying Wang, Gang Sun, Hanyue Su, Hongfang Yu, Bo Lei, and Mohsen Guizani

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Sequence pre-training-based graph neural network for predicting lncRNA-miRNA associations, Zixiao Wang, Shiyang Liang, Siwei Liu, Zhaohan Meng, Jingjie Wang, and Shangsong Liang

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective, Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, and Xiang Yin

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S2CD: Self-heuristic Speaker Content Disentanglement for Any-to-Any Voice Conversion, Pengfei Wei, Xiang Yin, Chunfeng Wang, Zhonghao Li, Xinghua Qu, Zhiqiang Xu, and Zejun Ma

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Controllable Music Inpainting with Mixed-Level and Disentangled Representation, Shiqi Wei, Ziyu Wang, Weiguo Gao, and Gus Xia

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A Universal Unbiased Method for Classification from Aggregate Observations, Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, and Heng Tao Shen

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Retrospective on the SENSORIUM 2022 competition, Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Hansel, Christoph Blessing, Konstantin Klemens Lurz, Max F. Burg, Santiago A. Cadena, Zhiwei Ding, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Kaiwen Deng, Yuanfang Guan, Yiqin Zhu, Kaiwen Xiao, Xiao Han, Simone Azeglio, Ulisse Ferrari, Peter Neri, and Olivier Marre

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Adaptive Compositional Continual Meta-Learning, Bin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, and Qiang Zhang

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Dynamic Bayesian Contrastive Predictive Coding Model for Personalized Product Search, Bin Wu, Zaiqiao Meng, and Shangsong Liang

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Self-Adaptive Perturbation Radii for Adversarial Training, Huimin Wu, Wanli Shi, Chenkang Zhang, and Bin Gu

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Efficient Semi-Supervised Adversarial Training without Guessing Labels, Huimin Wu, William Vazelhes, and Bin Gu

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Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions, Feng Xie, Yan Zeng, Zhengming Chen, Yangbo He, Zhi Geng, and Kun Zhang

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SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model, Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz, and Kun Zhang

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VLC-Assisted Safety Message Dissemination in Roadside Infrastructure-Less IoV Systems: Modeling and Analysis, Yuncong Xie, Dongyang Xu, Tiantian Zhang, Keping Yu, Amir Hussain, and Mohsen Guizani

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PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions, Wenjie Xuan, Shanshan Zhao, Yu Yao, Juhua Liu, Tongliang Liu, Yixin Chen, Bo Du, and Dacheng Tao

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Post-Quantum Authentication Against Cyber-Physical Attacks in V2X-Based Autonomous Vehicle Platoon, Dongyang Xu, Keping Yu, Lei Liu, Guolong Chen, Neeraj Kumar, Mohsen Guizani, and James A. Ritcey

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Quantum Learning on Structured Code with Computing Traps for Secure URLLC in Industrial IoT Scenarios, Dongyang Xu, Keping Yu, Li Zhen, Kim Kwang Raymond Choo, and Mohsen Guizani

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A Survey on Digital Twin for Industrial Internet of Things: Applications, Technologies and Tools, Hansong Xu, Jun Wu, Qianqian Pan, Xinping Guan, and Mohsen Guizani

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On the Accelerated Noise-Tolerant Power Method, Zhiqiang Xu

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On minimizing flow monitoring costs in large-scale software-defined network networks, Haythem Yahyaoui, Mohamed Faten Zhani, Ouns Bouachir, and Moayad Aloqaily

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Edge-Assisted Hierarchical Batch Authentication Scheme for VANETs, Chengzhi Yan, Chen Wang, Jian Shen, Kapal Dev, Mohsen Guizani, and Weizheng Wang

Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation, Chenxu Yang, Zheng Lin, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, and Weiping Wang

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SMART Intent-Driven Network Management, Chungang Yang, Xinru Mi, Ying Ouyang, Ru Dong, Junjie Guo, and Mohsen Guizani

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SecureSL: A Privacy-preserving Vertical Cooperative Learning Scheme for Web 3.0, Wenti Yang, Xiaodong Wang, Zhitao Guan, Longfei Wu, Xiaojiang Du, and Mohsen Guizani

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Learning Multi-Attention Context Graph for Group-Based Re-Identification, Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei Shi Zheng, Xiaokang Yang, and Ling Shao

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Blockchain-Enabled Intelligent IoT, Haipeng Yao and Mohsen Guizani

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Conclusions and Future Challenges, Haipeng Yao and Mohsen Guizani

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Intelligent Internet of Things Networking Architecture, Haipeng Yao and Mohsen Guizani

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Intelligent IoT Network Awareness, Haipeng Yao and Mohsen Guizani

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Intelligent IoT Network Awareness, Haipeng Yao and Mohsen Guizani

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Intelligent Resource Scheduling, Haipeng Yao and Mohsen Guizani

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Intelligent Traffic Control, Haipeng Yao and Mohsen Guizani

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Mobile Edge Computing Enabled Intelligent IoT, Haipeng Yao and Mohsen Guizani

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Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information, Tianjun Yao, Yingxu Wang, Kun Zhang, and Shangsong Liang

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Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?, Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, and Tongliang Liu

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ILBPS: An Integrated Optimization Approach Based on Adaptive Load-Balancing and Heuristic Path Selection in SDN, Zongyu Ye, Gang Sun, and Mohsen Guizani

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CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification, Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian Sheng Hua, and Xiao Luo

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OMG: Towards Effective Graph Classification Against Label Noise, Nan Yin, Li Shen, Mengzhu Wang, Xiao Luo, Zhigang Luo, and Dacheng Tao

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Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting, Nan Yin, Li Shen, Huan Xiong, Bin Gu, Chong Chen, Xian Sheng Hua, Siwei Liu, and Xiao Luo

Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective, Zeyuan Yin, Eric Xing, and Zhiqiang Shen

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LHAct: Rectifying Extremely Low and High Activations for Out-of-Distribution Detection, Yue Yuan, Rundong He, Zhongyi Han, and Yilong Yin

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IFSeg: Image-free Semantic Segmentation via Vision-Language Model, Sukmin Yun, Seong Hyeon Park, Paul Hongsuck Seo, and Jinwoo Shin

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Discrete-Rate Adaptive Modulation Schemes for Uplink Massive MIMO Systems With Imperfect CSI, Xiangbin Yu, Chenghong Yang, Shu hung Leung, Yun Rui, Xiao yu Dang, Mohsen Guizani, and Jiawei Bai

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Multimodal Image Synthesis and Editing: The Generative AI Era, Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Lingjie Liu, Adam Kortylewski, Christian Theobalt, and Eric Xing

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Doubly Robust AUC Optimization against Noisy and Adversarial Samples, Chenkang Zhang, Wanli Shi, Lei Luo, and Bin Gu

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Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming, Hanlin Zhang, Jiani Huang, Ziyang Li, Mayur Naik, and Eric Xing

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A New Minimality Condition for Boolean Accounts of Causal Regularities, Jiji Zhang and Kun Zhang

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Semi-Asynchronous Model Design for Federated Learning in Mobile Edge Networks, Jinfeng Zhang, Wei Liu, Yejun He, Zhou He, and Mohsen Guizani

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Intent-driven Closed-Loop Control and Management Framework for 6G Open RAN, Jingwen Zhang, Chungang Yang, Ru Dong, Yao Wang, Alagan Anpalagan, Qiang Ni, and Mohsen Guizani

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Energy Allocation for Vehicle-to-Grid Settings: A Low-Cost Proposal Combining DRL and VNE, Peiying Zhang, Ning Chen, Neeraj Kumar, Laith Abualigah, Mohsen Guizani, Youxiang Duan, Jian Wang, and Sheng Wu

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Multi-Target-Aware Dynamic Resource Scheduling for Cloud-Fog-Edge Multi-Tier Computing Network, Peiying Zhang, Ning Chen, Guanjun Xu, Neeraj Kumar, Ahmed Barnawi, Mohsen Guizani, Youxiang Duan, and Keping Yu

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Energy-Aware Positioning Service Provisioning for Cloud-Edge-Vehicle Collaborative Network Based on DRL and Service Function Chain, Peiying Zhang, Yi Zhang, Neeraj Kumar, Mohsen Guizani, Ahmed Barnawi, and Wei Zhang

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An Efficient Post-Quantum Multi-Signature Scheme for the Internet of Vehicles, Qianyi Zhang, Shuai Yuan, Zhitao Guan, Xiaojiang Du, and Mohsen Guizani

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DFLNet: Deep Federated Learning Network With Privacy Preserving for Vehicular LoRa Nodes Fingerprinting, Tiantian Zhang, Dongyang Xu, Pinyi Ren, Keping Yu, and Mohsen Guizani

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A High-Throughput Scheduler based on Multipath-State Machine in Wireless Networks, Xiaoya Zhang, Yuyang Zhang, Ping Dong, Xiaojiang Du, Hongke Zhang, and Mohsen Guizani

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Outdoor Position Recovery From Heterogeneous Telco Cellular Data, Yige Zhang, Weixiong Rao, Kun Zhang, and Lei Chen

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Diversity-Driven Proactive Caching for Mobile Networks, Yin Zhang, Ranran Wang, Yiran Wang, Min Chen, and Mohsen Guizani

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A Multi-layer Information Dissemination Model and Interference Optimization Strategy for Communication Networks in Disaster Areas, Yuexia Zhang, Yang Hong, Mohsen Guizani, Sheng Wu, Peiying Zhang, and Ruiqi Liu

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MEDIA: An Incremental DNN Based Computation Offloading for Collaborative Cloud-Edge Computing, Liang Zhao, Yingcan Han, Ammar Hawbani, Shaohua Wan, Zhenzhou Guo, and Mohsen Guizani

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Adaptive Multi-UAV Trajectory Planning Leveraging Digital Twin Technology for Urban IIoT Applications, Liang Zhao, Shuo Li, Yunchong Guan, Shaohua Wan, Ammar Hawbani, Yuanguo Bi, and Mohsen Guizani

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Adaptive Swarm Intelligent Offloading Based on Digital Twin-assisted Prediction in VEC, Liang Zhao, Tianyu Li, Enchao Zhang, Yun Lin, Shaohua Wan, Ammar Hawbani, and Mohsen Guizani

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Privacy-Preserving Outsourcing of K-means Clustering for Cloud-Device Collaborative Computing in Space-Air-Ground Integrated IoT, Wei Zhao, Wu Yang, Huanran Wang, Tairong Zhang, Dapeng Man, Tao Liu, Jiguang Lv, and Mohsen Guizani

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Federated Learning for Online Resource Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach, Jingjing Zheng, Kai Li, Naram Mhaisen, Wei Ni, Eduardo Tovar, and Mohsen Guizani

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GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector, Peng Zheng, Huazhu Fu, Deng Ping Fan, Qi Fan, Jie Qin, Yu Wing Tai, Chi Keung Tang, and Luc Van Gool

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Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection, Peng Zheng, Jie Qin, Shuo Wang, Tian Zhu Xiang, and Huan Xiong

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Clustering-NN Based CFO Estimation Using Random Access Preambles for 5G Non-Terrestrial Networks, Li Zhen, Luyao Cheng, Zheng Chu, Keping Yu, Pei Xiao, and Mohsen Guizani

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Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration, Dawei Zhou, Yukun Chen, Nannan Wang, Decheng Liu, Xinbo Gao, and Tongliang Liu

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Phase-aware Adversarial Defense for Improving Adversarial Robustness, Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, and Tongliang Liu

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Blockchain-Based Secure and Efficient Secret Image Sharing with Outsourcing Computation in Wireless Networks, Zhili Zhou, Yao Wan, Qi Cui, Keping Yu, Shahid Mumtaz, Ching Nung Yang, and Mohsen Guizani

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Exploring Model Dynamics for Accumulative Poisoning Discovery, Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, and Bo Han

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Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability, Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, and Bo Han

Submissions from 2022

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Sine Cosine Algorithm for Reducing Communication Costs of Federated Learning, Ammar Kamal Abasi, Moayad Aloqaily, Mohsen Guizani, and Fakhri Karray

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Lemurs Optimizer: A New Metaheuristic Algorithm for Global Optimization, Ammar Kamal Abasi, Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar, Osama Ahmad Alomari, Mohammed A. Awadallah, Zaid Abdi Alkareem Alyasseri, Iyad Abu Doush, Ashraf Elnagar, Eman H. Alkhammash, and Myriam Hadjouni

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Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond Networks, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, and Mohsen Guizani